전기차 이용자를 위한 클라우드 기반 충전소 검색 시스템 구현 = Implementation of Cloud-based Station Search System for Electric Vehicle Users

국문 초록 (Abstract)

본 논문에서는 한국환경공단에 등록된 모든 충전 사업자의 충전기 정보를 실시간으로 수집, 전처리, 저장하고 이용자의 요청에 따라 충전소 목록을 즉시 전달하는 시스템을 구현하였다. 대용량 데이터의 수집 시간을 최소화하기 위해 비동기 라이브러리와 카프카를 활용하였으며, 데이터의 가변 속성에 따라 메타, 상태, 로그 형태로 재 정의하였다. 또한, 로그스태시를 활용하여 쿼리 검색에 유리한 형태로 전처리하였으며, 해당 결과를 엘라스틱서치와 관계형 데이터베이스에 나누어 하이브리드 저장소를 구축하였다. 구현된 시스템은 6 종류의 검색 API를 제공하며, 이용자들이 다양한 조건을 통해 유리한 충전소를 신속하게 선점할 수 있도록 편의성을 반영하였다. 또한, 충전 운영 서버를 통해 이용자의 요청에 따라 응답 결과를 확인하였다. 3 가지 유형의 성능 평가를 통해 구현 시스템은 1분 이내 처리 속도를 보장하였다.

다국어 초록 (Multilingual Abstract)

This paper presents a system that collects, preprocesses, and stores charger information from all charge point operators registered with the Korea Environment Corporation in real time and immediately delivers stations upon user request. To minimize the collection time of large amounts of data, asynchronous libraries and Kafka were used, and the data was redefined into meta, state, and log formats depending on the variable properties. In addition, we used Logstash to build a hybrid storage that stores preprocessed results in a form that is advantageous for query search in Elasticsearch and a relational database. The implemented system provides six types of search APIs and reflects convenience so that users can quickly occupy advantageous charging stations through various conditions. In addition, the response results were confirmed according to the user's request through the charging operation server. Through three types of performance evaluation, the implementation system guaranteed a processing speed of less than 1 minute.

참고문헌 (Reference)

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